Results 1 to 10 of about 1,961,809 (159)
Two-Dimensional Off-Grid DOA and Polarization Parameter Estimation for Parallel Coprime Polarization Sensitive Array [PDF]
For the two-dimensional (2-D) spatial angle and polarization parameter estimation problem of spatial electromagnetic signals, a 2-D off-grid DOA and polarization parameter estimation algorithm based on dual parallel coprime polarization sensitive array ...
Zeng Fuhong, Peng Zhanli, Si Weijian, Wang Tingjia, Sun Mingguo
doaj +1 more source
Parameter estimation of quantized DARMA systems using weighted least squares
This paper is concerned with parameter estimate of deterministic autoregressive moving average (DARMA) systems with uniform quantized output observations.
Lida Jing
doaj +1 more source
Accuracy of some robust estimators based upon prefiltering of the input/output data [PDF]
By prefiltering the input/output data and employing certain decentralized estimation techniques, it is possible to improve the robustness of some estimators significantly.
Rolf Henriksen
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Parameter Estimation of Ship Manoeuvring Equations [PDF]
Model tests performed at the Norwegian Hydrodynamic Laboratories (NHL), to identify ship manoeuvring equations, are described. Parameter estimation techniques are used to determine the mathematical model.
Tore Flobakk
doaj +1 more source
Parameter estimation through ignorance [PDF]
17 pages, 5 figures, Keywords: parameter estimation, Ignorance, Implied Ignorance, Minimum Ignorance, nonlinear dynamical system, skill score, dynamically consistent ensemble, model inadequacy, least squares, information deficit, potential predictability ...
Du, Hailiang, Smith, Leonard A.
openaire +3 more sources
Accurate parameter estimation is essential for modeling the statistical characteristics of ocean clutter. Common parameter estimation methods in generalized Pareto distribution models have limitations, such as restricted parameter ranges, lack of closed ...
Bin Yang, Qing Li
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For the average state of the normal distribution parameter estimation, regular normal distribution parameter gives an estimation, but the carbonation depth of influence factors is more of a parameter estimation, shooting low deficiencies; therefore ...
Min Cai, Jun Yang
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Incompatibility in quantum parameter estimation
In this paper we introduce a measure of genuine quantum incompatibility in the estimation task of multiple parameters, that has a geometric character and is backed by a clear operational interpretation. This measure is then applied to some simple systems
Federico Belliardo, Vittorio Giovannetti
doaj +1 more source
Parameter estimation from ICC curves
Incidence vs. Cumulative Cases (ICC) curves are introduced and shown to provide a simple framework for parameter identification in the case of the most elementary epidemiological model, consisting of susceptible, infected, and removed compartments.
Joceline Lega
doaj +1 more source
Abstract This chapter focuses on parameter estimation. Economic models that are used to measure vaccine value are only as strong as the data used in the model. Health economists depend on the availability of data from a number of different reliable sources in order to populate a model with parameters, including clinical, epidemiological,
Emmanuel F. Drabo, David W. Dowdy
+5 more sources

